Title :
High performance iris recognition based on LDA and LPCC
Author :
Chu, Chia Te ; Chen, Ching-Han
Author_Institution :
Inst. of Electr. Eng., I-Shou Univ., Kaohsiung
Abstract :
In this paper, the iris recognition algorithm based on LPCC and LDA is first presented. So far, the two algorithms are not found for iris recognition in literature. In addition, a simple and fast training algorithm, particle swarm optimization (PSO), is also introduced for training the probabilistic neural network (PNN). Finally, a comparative experiment of existing methods for iris recognition is evaluated on CASIA iris image databases. The proposed algorithms can achieve 100% recognition rates and the result is encouraging
Keywords :
biometrics (access control); eye; image recognition; neural nets; particle swarm optimisation; high performance iris recognition; particle swarm optimization; probabilistic neural network; Discrete wavelet transforms; Feature extraction; Histograms; Image databases; Iris recognition; Linear discriminant analysis; Neural networks; Particle swarm optimization; Tellurium; Wavelet transforms; iris recognition; particle swarm optimization; probabilistic neural network; wavelet transform;
Conference_Titel :
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2488-5
DOI :
10.1109/ICTAI.2005.71
